code: def to(self, data_type):
      # self.validate_conversion_to(data_type)
  
      def load() -> torch.Tensor:
          print(f"to {data_type}")
          return self.load().to(data_type)
  
      return LazyTensor(
          load,
          self.shape,
          data_type,
          f"convert({data_type}) {self.description}",
      )
  
file_path: BigDL/python/llm/src/bigdl/llm/utils/lazy_load_torch.py
imports: import torch
  from torch.serialization import StorageType
  import pickle
  import zipfile
  import io
  from typing import Dict, IO, Any, Callable, List
  from dataclasses import dataclass
  from .common import invalidInputError
label_desc: Use image node_id 2 for calling the LazyTensor obj's underlying member method code with example usage: obj.to(data_type) and returns: LazyTensor, self